Abstract: 【 Purpose/significance】Since 1979,China has been conducting physical health tests on students in five-year cycles,and has
accumulated a wealth of data.However,the analysis and utilization of these data have been seriously inadequate for a long time to meet the needs of personalized health services.How to use the physical test big data for knowledge organization and mining to realize person? alized health promotion has become an important issue in the field of information resource management.【Method/process】We pro? posed a multi-modal and heterogeneous knowledge organization method based on external knowledge base enhancement,and an knowl? edge reasoning architecture based on gray case reasoning and designed a case adaptively updating mechanism,and established an inte? grated closed-loop student health promotion knowledge service framework of "knowledge (knowledge recommendation)-supervision (health monitoring)-evaluation (physical assessment)-prevention (prevention-oriented)-protection (health protection)"【. Result/conclu? sion】This method provides an important knowledge tool to support the management of student health physical big data and active health services【. Innovation/limitation】We have created a multimodal heterogeneous case knowledge organization method enhanced by an external knowledge base and proposed a case learning mechanism with human-machine collaboration and group intelligence; but the information security and user privacy protection mechanism of the health knowledge service based on physical testing big data needs further research and construction。